Changelog
List of changes in-between ODTbrain releases.
version 0.4.7
maintenance release
version 0.4.6
fix: handle more special cases when computing weights for projections
docs: update example scripts and images
version 0.4.5
ci: fix build pipeline
version 0.4.4
ref: address scipy deprecation warnings
ref: replace print statements with warnings (#17)
ci: switch to Python 3.10
ci: minor cleanup
version 0.4.3
version 0.4.2
build: migrate to GitHub Actions
build: setup.py test is deprecated
docs: refurbish docs
ref: change instances of np.int to int due to numpy deprecation warnings
version 0.4.1
setup: bump scipy to 1.4.0 (updated QHull in griddata)
version 0.4.0
BREAKING CHANGES:
renamed submodule _preproc to _prepare_sino
renamed submodule _postproc to _translate_ri
missing apple core correction is now applied to the object function (f) instead of the refractive index (n), which is the physically correct approach
default keyword for padval is now “edge” instead of None; the meaning is retained
enh: added symmetric histogram apple core correction method “sh”
fix: using “float32” dtype in 3D backpropagation lead to casting error in numexpr
enh: improve performance when padding is disabled
docs: minor update
version 0.3.0
feat: basic missing apple core correction (#6)
docs: reordered 3D examples (decreasing importance)
version 0.2.6
fix: make phase unwrapping deterministic
tests: remove one test of the 2D Fourier mapping algorithm due to instabilities in using scipy.interpolate.griddata
ref: use empty_aligned instead of deprecated n_byte_align_empty
docs: add hint for windows users how to run the 3D examples
version 0.2.5
fix: reconstruction volume rotated by 180° due to floating point inaccuracies (affects backpropagate_3d_tilted).
version 0.2.4
maintenance release
version 0.2.3
enh: employ slice-wise padding to reduce the memory usage (and possibly the computation time) of
ref: replace asserts with raises (#8)
ref: multiprocessing-based rotation does not anymore require a variable (_shared_array) at the top level of the module; As a result, multiprocessing-rotation should now also work on Windows.
version 0.2.2
docs: minor update and add changelog
version 0.2.1
fix: Allow sinogram data type other than complex128
docs: Add example with experimental data (#3)
ci: automated deployment with travis-ci
version 0.2.0
BREAKING CHANGES:
Dropped support for Python 2
Renamed sum_2d to integrate_2d
Refactoring (#4, #5):
Moved each reconstruction algorithm to a separate file
Modified code to comply with PEP8
Moved long doc strings from source to docs directory
Migrate from unwrap to scikit-image
Cleaned up example scripts
Bugfixes:
Mistake in “negative-modulo” method for determination of 2PI sinogram phase offsets
version 0.1.8
Updated documentation
Cleaned up examples
version 0.1.7
Move documentation from GitHub to readthedocs.io
Add universal wheel on PyPI
Update tests on travis with new versions of NumPy
version 0.1.6
Bugfixes:
size of reconstruction volume in z too large for cases where the y-size is larger than the x-size of the sinogram images
backpropagate_3d_tilted used wrong shape of projections
3D backpropagation methods did not use power-of-two padding size
version 0.1.5
Code optimization (speed, memory) with numexpr
New keyword argument save_memory for 3D reconstruction on machines with limited memory
New keyword argument copy for 3D reconstruction to protect input sinogram data.
version 0.1.4
The exponential term containing the distance between center of rotation and detector lD is now multiplied with the factor M-1 instead of M. This is necessary, because usually the scattered wave is normalized in both amplitude and phase (u_0) and not only amplitude a_0
Allow angles of shape (A,1) in backpropagate_3d_tilted
Set default value lD=0 for all reconstruction algorithms
Improvement of documentation
version 0.1.3
Fixes for backpropagate_3d_tilted when angles are points on the unit sphere:
Make sure each point is normalized
Correctly rotate each point w.r.t. tilted_axis
version 0.1.2
Added reconstruction algorithm for tilted axis of rotation
version 0.1.1
Support NumPy 1.10.
Allow to weight backpropagation using keyword weight_angles
Bugfix: backpropagate_3d with keyword onlyreal=True did not work
Bugfix: sum_2d did not return correctly shaped array
Code coverage is now 90%
Added more examples to the documentation